algo change

[haritha1313]

No description provided.

[github-actions]

Hot-Path Documentation Analysis

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Semantic Analysis Summary

• 1 files analyzed in 67.9s
• 0 added, 0 deleted

Change Classification (using Zhang-Shasha tree edit distance):

• IDENTICAL: 16 files
• REWRITE: 1 files

Documentation Impact:

• HIGH priority (MAJOR/REWRITE): 1 files need docs
• MEDIUM priority (MINOR): 0 files

Code Entities:

• Total entities found: 257
• Documented: 73
• Undocumented: 192
• Code communities detected: 1

High Priority Changes (Require Documentation)

algorithmia.py

• Change Type: REWRITE
• Tree Edit Distance: 0.88
• Language: python

AI-Generated Documentation Suggestions

The following suggestions were generated using LLM analysis:

1. algorithmia.py - algorithmia

Change Type: REWRITE
Confidence: 85%

Explanation:

The code appears to be part of an emotion recognition system that uses the Algorithmia API. The module contains two main functions: calculate_weighted_emotion which applies weights to emotion confidence scores, and smooth_emotion_with_history which uses a rolling window approach to smooth emotion detection over time.

The code doesn't actually contain a function named algorithmia, so I've documented the module as a whole and its key functions. The module seems to be designed to process emotion data, apply weights to different emotions, and smooth the detection over time to prevent rapid fluctuations.

Compared to the previous version, this code has added sophisticated emotion smoothing with historical context and weighted confidence calculations, which weren't present in the earlier implementation that simply detected emotions and mapped them to playlists.

View Suggestion

# algorithmia.py

This module provides emotion recognition functionality using the Algorithmia API and implements emotion smoothing and playlist recommendation based on detected emotions.

## Main Functions

### calculate_weighted_emotion
```python
def calculate_weighted_emotion(emotions_dict):

Applies weighted scoring to emotion confidence values to emphasize certain emotions.

Parameters:

• emotions_dict (dict): Dictionary mapping emotion names to confidence scores

Returns:

• d

</details>

*Cost for this analysis: $0.0162*

---

### Next Steps

1. **Review** the changed code files above
2. **Update** corresponding documentation
3. **Test** that examples in docs still work
4. **Consider** applying AI suggestions (review carefully first)

### Automatic Documentation Updates

Comment **`/update-docs`** on this PR to automatically:
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[haritha1313]

/update-docs